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All (26,565)

All (26,565) (0 to 10 of 26,565 results)

Data (13,287)

Data (13,287) (0 to 10 of 13,287 results)

Analysis (10,777)

Analysis (10,777) (10,650 to 10,660 of 10,777 results)

  • 10,651. Estimating economic cycles in semi-annual series - Open in new window/tab Archived
    Articles and reports: 12-001-X198400214355
    Description:

    This paper presents a moving average which estimates the trend-cycle while eliminating seasonality from semi-annual series (observed twice yearly). The proposed average retains the power of all cycles which last three years or more; 90% of those of two years; and 55% of cycles of one year and a half. By comparison, the two by two moving average retains the power of respectively 75%, 50% and 25% of the same cycles.

    Release date: 1984-12-14
  • 10,652. The use of matching in the evaluation of non-sampling errors in the 1981 Canadian Census of Agriculture - Open in new window/tab Archived
    Articles and reports: 12-001-X198400214356
    Description:

    This paper discusses the use of matching between files of comparable data in the evaluation of non-sampling error. As an example of the technique, the data quality evaluation of the 1981 Canadian Census of Agriculture is described and some results presented.

    Release date: 1984-12-14
  • 10,653. Unbiased estimation of domain parameters in sampling without replacement - Open in new window/tab Archived
    Articles and reports: 12-001-X198400214357
    Description:

    A finite population of size N is supposed to contain M (unknown) units of a specified category A (say) constituting a domain with mean \mu. A procedure which involves drawing units using simple random sampling without replacement till a preassigned number of members of the domain is reached is proposed. An unbiased estimator of \mu is also derived. This is seen to be superior to the corresponding possibly biased estimator based on a comparable SRSWOR scheme with a fixed number of draws. The proposed scheme is also shown to admit unbiased estimators of M and the domain total T.

    Release date: 1984-12-14
  • 10,654. A methodology for surveying disabled persons using a supplement to the Labour Force Survey - Open in new window/tab Archived
    Articles and reports: 12-001-X198400214358
    Description:

    In response to a need for data on disabled persons in Canada, Statistics Canada undertook a program to create a disability database. This includes using supplements to the Canadian Labour Force Survey in the Fall of 1983 and the Spring of 1984, as well as including questions on the 1986 Census of Population. A general discussion of the background and content of the survey is presented. A comparison of screening methodologies conducted by Statistics Canada in November 1982 and January 1983 is presented and the results are compared.

    Release date: 1984-12-14
  • 10,655. On analytical statistics from complex samples - Open in new window/tab Archived
    Articles and reports: 12-001-X198400114346
    Description:

    This presentation describes the important and urgent task of providing useful expressions for analytical statistics for complex sample designs. The following topics are discussed: effects of complex designs, sampling error for analytical statistics, subclasses involved in analytical statistics, comparisons of paired means, computation of analytical statistics and categorical data analysis.

    Release date: 1984-06-15
  • 10,656. An introduction to linear models and generalized linear models: Concepts and methods - Open in new window/tab Archived
    Articles and reports: 12-001-X198400114347
    Description:

    Univariate statistical models, linear regression models and generalized linear models are briefly reviewed. Examples of a two-way analysis of variance, a three-way analysis of variance and logistic regression for a three way layout are given.

    Release date: 1984-06-15
  • 10,657. Adjusting sub-annual series to yearly benchmarks - Open in new window/tab Archived
    Articles and reports: 12-001-X198400114348
    Description:

    This paper proposes a modification to the method of Denton (1971) for adjusting sub-annual series to yearly totals. These totals originate from more reliable sources and constitute annual benchmarks. The benchmarked series derived according to the modified method is more parallel to the unbenchmarked series than this is the case with the original method. An additive and a proportional variant of the method are presented. These can easily be adapted for flow, stock and index series. Also presented are a few recommendations about the preliminary benchmarking of current data and the management of “historical” estimates of the series.

    Release date: 1984-06-15
  • 10,658. Examining expenditures on energy - Open in new window/tab Archived
    Articles and reports: 12-001-X198400114349
    Description:

    Using data from the Family Expenditures Surveys over time, consumer expenditures on in-home and transportation energy from 1969 to 1982 are being studied. This article briefly summarizes some of the procedures being used to explore the data, summarize it and develop insights into shifts in consumption for policy implications purposes. With such a complex data set and such a complex, multi-faceted subject for analysis some effort must be made to reduce information flows and at the same time increase the information content of each factor of both input and output in the analyses.

    Release date: 1984-06-15
  • 10,659. Logistic regression analysis of Labour Force Survey data - Open in new window/tab Archived
    Articles and reports: 12-001-X198400114350
    Description:

    Standard chisquared (X^2) or likelihood ratio (G^2) tests for logistic regression analysis, involving a binary response variable, are adjusted to take account of the survey design. The adjustments are based on certain generalized design effects. The adjusted statistics are utilized to analyse some data from the October 1980 Canadian Labour Force Survey (LFS). The Wald statistic, which also takes the survey design into account, is also examined for goodness-of-fit of the model and for testing hypotheses on the parameters of the assumed model. Logistic regression diagnostics to detect any outlying cell proportions in the table and influential points in the factor space are applied to the LFS data, after making necessary adjustments to account for the survey design.

    Release date: 1984-06-15
  • 10,660. Application of linear and log-linear models to data from complex samples - Open in new window/tab Archived
    Articles and reports: 12-001-X198400114351
    Description:

    Most sample surveys conducted by organizations such as Statistics Canada or the U.S. Bureau of the Census employ complex designs. The design-based approach to statistical inference, typically the institutional standard of inference for simple population statistics such as means and totals, may be extended to parameters of analytic models as well. Most of this paper focuses on application of design-based inferences to such models, but rationales are offered for use of model-based alternatives in some instances, by way of explanation for the author’s observation that both modes of inference are used in practice at his own institution.

    Within the design-based approach to inference, the paper briefly describes experience with linear regression analysis. Recently, variance computations for a number of surveys of the Census Bureau have been implemented through “replicate weighting”; the principal application has been for variances of simple statistics, but this technique also facilitates variance computation for virtually any complex analytic model. Finally, approaches and experience with log-linear models are reported.

    Release date: 1984-06-15
Reference (2,029)

Reference (2,029) (0 to 10 of 2,029 results)

  • 1. Statistical Methods Reference Documents - Open in new window/tab
    Surveys and statistical programs – Documentation: 19-20-0001
    Description: Documents in this series provide insight into the statistical methods used by Statistics Canada to produce official statistics. They include introductory material, in-depth descriptions of techniques and methods, best practices, and guidelines. All documents have undergone review to ensure that they conform to Statistics Canada's mandate and adhere to generally accepted methodological standards and practices.
    Release date: 2026-06-16
  • 2. Advance indicators: Production, use and interpretation, 2026 - Open in new window/tab
    Surveys and statistical programs – Documentation: 19-20-00012026003
    Description: This article provides nontechnical answers to questions related to the production, use and interpretation of advance indicators for Statistics Canada’s Monthly Survey of Manufacturing, Monthly Wholesale Trade Survey and Monthly Retail Trade Survey.
    Release date: 2026-06-16
  • 3. Trend-cycle estimation: Concepts, interpretation, and calculation, 2026 - Open in new window/tab
    Surveys and statistical programs – Documentation: 19-20-00012026002
    Description: This reference document provides answers on selected topics related to the use, interpretation, and calculation of trend-cycle estimates for seasonally adjusted data. It is designed to complement more technical discussions of seasonal adjustment and trend-cycle estimation found in Statistics Canada publications and reference manuals.
    Release date: 2026-06-08
  • 4. Seasonal adjustment: Concepts and interpretation, 2026 - Open in new window/tab
    Surveys and statistical programs – Documentation: 19-20-00012026001
    Description: This reference document provides nontechnical answers on selected topics related to the use and interpretation of seasonally adjusted data. It is designed to complement more technical discussions of seasonal adjustment found in Statistics Canada publications and reference manuals.
    Release date: 2026-05-11
  • 5. Latest Developments in the Canadian Economic Accounts - Open in new window/tab
    Notices and consultations: 13-605-X
    Description: This product contains articles related to the latest methodological, conceptual developments in the Canadian System of Macroeconomic Accounts as well as the analysis of the Canadian economy. It includes articles detailing new methods, concepts and statistical techniques used to compile the Canadian System of Macroeconomic Accounts. It also includes information related to new or expanded data products, provides updates and supplements to information found in various guides and analytical articles touching upon a broad range of topics related to the Canadian economy.
    Release date: 2026-05-04
  • 6. Health Regions: Boundaries and Correspondence with Census Geography - Open in new window/tab
    Geographic files and documentation: 82-402-X
    Description: Health regions are defined by the provinces and represent administrative areas or regions of interest to health authorities. This product contains correspondence files (linking health regions to latest Census geographic codes) and digital boundary files. User documentation provides an overview of health regions, sources, methods, limitations and product description (file format and layout).

    In addition to the geographic files, this product also includes Census data (basic profile) for health regions.

    Release date: 2026-04-30
  • 7. A Framework for Projecting Housing Use Associated with Immigrants and Non-Permanent Residents - Open in new window/tab
    Surveys and statistical programs – Documentation: 11-633-X2026002
    Description: Recent changes in Canada’s immigration levels have heightened interest in understanding how immigration affects housing demand. This article develops a methodological framework for projecting housing use associated with permanent residents (PRs) and non-permanent residents (NPRs) under alternative immigration scenarios. The framework applies observed per capita housing use rates from the Census of Population to estimate incremental housing use by tenure over time.
    Release date: 2026-04-24
  • 8. Departmental Plan - Open in new window/tab
    Notices and consultations: 11-635-X
    Description: Departmental Plans (DP) are individual expenditure plans for each department and agency. These reports provide increased levels of detail over a three-year period on an organization's main priorities by strategic outcome, program and planned/expected results, including links to related resource requirements presented in the Main Estimates. In conjunction with the Main Estimates, Departmental Plans serve to inform members of Parliament on planned expenditures of departments and agencies, and support Parliament's consideration of supply bills. The DPs are typically tabled soon after the Main Estimates by the President of the Treasury Board.
    Release date: 2026-03-13
  • 9. Rural Statistics in Canada - Open in new window/tab
    Surveys and statistical programs – Documentation: 45-20-0004
    Description: The publication features products and data highlights that focus on rural areas of Canada or that have a rural dimension present. Rural areas are typically areas outside of Canada's Census Metropolitan Areas (CMA) and Census Agglomerations (CA). The publication also includes explanatory notes on key concepts and definitions.
    Release date: 2026-03-13
  • 10. When and How to Use Area-Level Measures for Health Analysis: A Review and Recommendation Report - Open in new window/tab
    Surveys and statistical programs – Documentation: 11-633-X2026001
    Description: This report defines key concepts related to area-level analysis and introduces area-level measures developed and utilized at Statistics Canada for health analysis. It also provides a decision-making framework and practical recommendations to help researchers select appropriate methods. The goal is to guide readers on when area-level analysis is appropriate and what type of area-level measure is suitable to achieve research objectives.
    Release date: 2026-03-05
Other (1)

Other (1) ((1 result))

  • 1. Data Visualization: Best Practices - Open in new window/tab
    89-26-0005
    Description: This document provides best practices in data visualization for basic charts. A data visualization product can be created with very different goals and for different audiences with a wide range of expertise. General information applicable to any data visualization product is provided, as well as detailed information for data visualization by chart. This report covers 5 different categories of charts, and presents graphs from the following 5 general categories: pie charts, bar charts, point charts, line charts and maps.
    Release date: 2023-02-24

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